<p style="text-align:center;"><span style="color:hsl(0,0%,100%);"><strong>Award-Winning</strong> Software Engineering &amp; IT Staffing Company</span></p>

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<p>This whitepaper traces the evolution of AI in capital markets, from basic automation to intelligence, examines high-impact use cases across the value chain, highlights global adoption patterns, and explores the infrastructure and organizational shifts required to capture long-term value.</p>

<h4>The story of AI in capital markets can be understood as a journey:</h4><p>&nbsp;</p><ul><li>Rule-based automation - Reducing manual effort in repetitive tasks.</li><li>Predictive analytics - Using data-driven insights to forecast and optimize.</li><li>AI-first intelligence - Adaptive systems that augment human judgment and respond in real-time.<br><br>This evolution reflects both advances in technology and the growing sophistication of financial institutions. In this paper we discuss each phase, the use cases driving adoption, the challenges of modernization, and what lies ahead. .</li></ul>

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VLINK_The AI Evolution in Capital Markets_V1_09_09_2025.pdf

The AI Evolution in Capital Markets

<p>This paper explores the current application of GenAI in capital markets, the challenges it presents, and how institutions can adopt it responsibly, as well as the role VLink plays in facilitating secure and scalable deployment.</p>

<h4>The Momentum is here-</h4><p>&nbsp;</p><ul><li>52% of senior leaders in financial services say GenAI adoption is now a strategic priority.</li><li>Large-scale rollouts are underway, with banks and asset managers deploying it in research, compliance, and client-facing operations.</li><li>Early adopters are moving from experimental pilots to enterprise integration.<br><br>The whitepaper explores where GenAI is delivering value, the primary risks, and the implementation models that suit different risk appetites and operational needs.</li></ul>

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Whitepaper1-Gen AI in Caps Markets.pdf

Generative AI in Capital Markets

<p>In recent years, Artificial Intelligence (AI) and Machine Learning (ML) technologies have been getting more attention thanks to the release of innovative new applications like ChatGPT. Their soaring adoption and popularity show that AI is here to stay. But amid all the excitement about the power and potential of AI, we also need to consider AI ethics.<br>Our latest whitepaper includes comprehensive details on how AI is getting more attention with the release of innovative new applications like ChatGPT, this year; and covers a deep dive into AI ethics: what it means, why it matters, how regulations are evolving to incorporate ethical considerations in AI, and how organizations can make ethics part of their AI DNA.</p>

<h4>What you will learn in this whitepaper-</h4><p>&nbsp;</p><ul><li>What are AI Ethics, and why do they matter?</li><li>How regulations are evolving to incorporate ethical considerations in AI.</li><li>How organizations can make ethics part of their AI DNA.</li><li>Important AI Regulations that Organizations Should Be Aware Of.</li><li>Enterprise Strategies to Adopt Ethical and Responsible AI.</li><li>UNESCO’s Recommendations on the Ethics of Artificial Intelligence.</li></ul>

Our latest whitepaper includes comprehensive details on how AI is getting more attention with the release of innovative new applications like ChatGPT, this year; and covers a deep dive into AI ethics

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VLINK_Whitepaper_The Rise of Ethical Concerns with AI_v4_10-17-2023.pdf

The Rise of Ethical Concerns with AI and the Need for Enterprise Rules & Regulations

<p>The first section describes the new era in which offshoring, and nearshoring are increasingly attractive.&nbsp;</p><p><br>The second section, a conversation with VLink president and CEO Sharad Patney, dives into the critical issues as organizations decide whether they should outsource and, if they do, what conditions make one or the other approach optimal. VLink is an expert software development outsourcing &amp; consulting company with 17+ years of managing and consulting for companies all over the U.S. including Fortune 500’s.</p>

<h4>What you will learn in this whitepaper-</h4><p>&nbsp;</p><ul><li>Why is the pendulum swinging from internal IT departments and in-house developers to outsourcing?</li><li>What is the difference between nearshoring and offshoring – and when is one preferable over the other?</li><li>Key things to look for in an outsourcing partner.</li><li>The risks of relying on an internal software development team.</li><li>The financial differences between nearshoring and offshoring.</li><li>Other significant differences between the two types of outsourcing.</li></ul>

The Complete Guide to Hire Remote Developers on Contract: Data Security, Integrity & Confidentiality whitepaper is specially designed for IT decision makers, HR-IT Executives, Managers, and Project Managers.

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Hire Remote Developers on Contract: Data Security, Integrity & Confidentiality

<p><strong>Reduce your overall Cloud spend by identifying mismanaged resources!</strong></p><p>&nbsp;</p><p>It’s full of tips, best practices and insights to help you most efficiently leverage the AWS platform. Want to connect but not right now? Check your calendar and write us with a time you are available OR let us know when you would like to talk (next week, next quarter, etc.).</p>

<h4>This whitepaper will help you learn to:</h4><p>&nbsp;</p><ul><li>Schedule On/Off Times</li><li>Capacity Planning</li><li>Utilize Scaling In And Out</li><li>Terminate Zombie Assets</li><li>Measure and Monitor Efficiency</li><li>Optimize Storage</li><li>Use Cost Allocation Tagging</li><li>Upgrade your Instances</li><li>Match Supply/Demand</li></ul>

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AWS-Cost-Optimization_VLink_WHITEPAPER_01.26.2021.pdf

AWS COST OPTIMIZATION BEST PRACTICES GUIDE

<p>It is one of the biggest challenges for claims analysts or other business users to easily identify the problems related to a specific file or transaction, update the information, and submit the files for validation without technical expertise</p>

<p>In this whitepaper, we took a look at:</p><p>&nbsp;</p><ul><li>The most common problems faced by claim analysts,</li><li>The pitfalls behind inefficient processes,</li><li>How to overcome the most common EDI problems,</li><li>How to eliminate the downtime and interruption caused by inefficient EDI processes.</li></ul>

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Common EDI Challenges and How To Overcome Them – Healthcare EDI Simplified

<p>Those that ignore artificial intelligence and machine learning are digging themselves into a competitive hole that only will grow wider and deeper over time. But deploying these platforms without deep conceptual and granular understanding sets the organization up for a wide variety of bad outcomes.</p>

<h4>In this white paper, VLink broadly lays out the topics about which corporate executives, from C-level decisions makers to line of business data consumers, should be thinking-</h4><p>&nbsp;</p><ul><li>Section 1: AI, ML, and Humans: Partnering to Tell Stories</li><li>Section 2: Evolving Data Engineering and Visualization Enable AI and ML</li><li>Section 3: AI and ML Deployment Do’s and Don’ts</li></ul>

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VLink_Whitepaper_Artificial-Intelligence-ML-V3.pdf

Artificial Intelligence and Machine Learning- Envisioning the Future

<p>In this whitepaper, VLink will look at two key elements of this complex puzzle. First, we will describe legacy system modernization and why it is necessary to deal with this complex new reality. Secondly, the whitepaper will describe observability, a necessary update to system monitoring. The whitepaper will conclude with a look at some observability software.</p>

<h4>Questions answered and topic addressed in this whitepaper-</h4><p>&nbsp;</p><ul><li>What IT departments should think about before embarking on a legacy system modernization project</li><li>What observability is, how it differs from monitoring and why it is important</li><li>A look at key software tools for legacy system modernization and observability</li></ul>

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VLINK_Whitepaper_Legacy-System-Modernization-and-Observability-V1.pdf

Legacy System Modernization and Observability

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